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import os
from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension, CppExtension
from os.path import join
CPU_ONLY = False
project_root = 'Correlation_Module'
source_files = ['correlation.cpp', 'correlation_sampler.cpp']
cxx_args = ['-std=c++14', '-fopenmp']
def generate_nvcc_args(gpu_archs):
nvcc_args = []
for arch in gpu_archs:
nvcc_args.extend(['-gencode', f'arch=compute_{arch},code=sm_{arch}'])
return nvcc_args
gpu_arch = os.environ.get('GPU_ARCH', '').split()
nvcc_args = generate_nvcc_args(gpu_arch)
with open("README.md", "r") as fh:
long_description = fh.read()
def launch_setup():
if CPU_ONLY:
Extension = CppExtension
macro = []
else:
Extension = CUDAExtension
source_files.append('correlation_cuda_kernel.cu')
macro = [("USE_CUDA", None)]
sources = [join(project_root, file) for file in source_files]
setup(
name='spatial_correlation_sampler',
version="0.4.0",
author="Clément Pinard",
author_email="clement.pinard@ensta-paristech.fr",
description="Correlation module for pytorch",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/ClementPinard/Pytorch-Correlation-extension",
install_requires=['torch>=1.1', 'numpy'],
ext_modules=[
Extension('spatial_correlation_sampler_backend',
sources,
define_macros=macro,
extra_compile_args={'cxx': cxx_args, 'nvcc': nvcc_args},
extra_link_args=['-lgomp'])
],
package_dir={'': project_root},
packages=['spatial_correlation_sampler'],
cmdclass={
'build_ext': BuildExtension
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: POSIX :: Linux",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence"
])
if __name__ == '__main__':
launch_setup()
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